Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…This paper demonstrates fast recognition speed and high accuracy, proving that the Kohonen neural network algorithm has an efficient recognition ability for identifying the types of the lubricating grease.…”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications by Mikael Ade Krisna Respati, Byung Moo Lee

“…This technology utilizes the same communication resources for communicating and sensing within the same framework, enabling more efficient use of resources. Currently, machine learning (ML) has been developed in the field of communications, including sensing and wireless communications, due to its ability to tackle complex optimization problems, estimate complex issues, and extract and exploit spatial/temporal patterns that can improve ISAC performance. …”
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Review on non-thermal plasma technology: FROM aflatoxins degradation to effect on medicinal plants by Kimia Taki, Bahram Hosseinzadeh Samani

“…Its ability to maintain product quality while effectively neutralizing aflatoxins underscores its potential for broader application in food safety management. …”
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A systematic review of plastic wastes as new adsorbents for dye removal in aqueous environments by Asiyeh Moteallemi, Samira Taherkhani, Ali Ahmadfazeli, Mohammad Hadi Dehghani

“…This strategy minimizes the need for virgin raw materials and lowers waste management expenses, making water treatment processes more sustainable and economically efficient.…”
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Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. by Michael Forrester, Sammy Petros, Oliver Cattell, Yi Ming Lai, Reuben D O'Dea, Stamatios Sotiropoulos, Stephen Coombes

“…As a tool for the study of dynamic whole brain models of the type presented here we further provide a suite of C++ codes for the efficient, and user friendly, simulation of neural mass networks with multiple delayed interactions.…”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
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Key technologies for preparation and multi scene utilization of multi-source solid waste based carbon fixation mining materials by Lang LIU, Lei XIA, Shuangming WANG, Zhiyu FANG, Mengbo ZHU, Wei HE, Yuheng GAO

“…The basic properties (flow performance, strength performance, carbon fixation ability) and carbon fixation mechanism of the modified magnesium coal based solid waste carbon fixation mining materials under different liquid-solid ratios were studied.The results show that when the liquid-solid ratio is greater than 0.23, the material meets the backfill flow performance requirements, and the maximum 28 days compressive strength can reach 6.18 MPa; The mineralization efficiency of direct mineralization mixing for 10 minutes reached 50.7%. …”
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Effect of storage on physicochemical properties, bioactive compounds and sensory attributes of drinks powder enriched with pumpkin (cucurbita moschata L.) by Md. Abdul Halim, Md. Abdul Wazed, Sami Al Obaid, Mohammad Javed Ansari, Anika Tahosin, Md. Tajminur Rahman, Fatehatun Noor, N.H.M. Rubel Mozumder, Anwara Akter Khatun

“…However, sample S1 had the highest DPPH radical scavenging ability, total phenolic content, and FRAP ability. …”
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EXPLORING THE CORRELATION BETWEEN GAIT SPEED AND BALANCE IN LIMB PROSTHESIS USERS: A PILOT STUDY by Abdullah Alhuzaymi, Goeran Fiedler

“…Research in the general population suggests that the ability to walk fast is correlated to good performance in balance tests. …”
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Advancing Brain Targeting: Cost-Effective Surface-Modified Nanoparticles for Faster Market Entry by Mariana Gomes, Maria João Ramalho, Joana A. Loureiro, Maria Carmo Pereira

“…Among these, nanoparticles (NPs) have gained attention due to their ability to enhance drug transport, improve bioavailability, and enable targeted delivery. …”
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Securing IoT Sensors Using Sharding-Based Blockchain Network Technology Integration: A Systematic Review by Ammad Aslam, Octavian Postolache, Sancho Oliveira, José Dias Pereira

“…Sharding is an emerging blockchain technology that is used extensively in several fields such as finance, reputation systems, the IoT, and others because of its ability to secure and increase the number of transactions every second. …”
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Face recognition in dense crowd using deep learning approaches with IP camera by Sobhana Mummaneni, Venkata Chaitanya Satya Ramaraju Mudunuri, Sri Veerabhadra Vikas Bommaganti, Bhavya Vani Kalle, Novaline Jacob, Emmanuel Sanjay Raj Katari

“…The automation of face recognition brings the benefit of a more efficient and accurate solution. This paper proposes an advanced model that has the ability to detect and recognise faces in dense crowds by using deep learning techniques. …”
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Low‐carbon scheduling model of multi‐virtual power plants based on cooperative game considering failure risks by Chen Wu, Zhinong Wei, Yang Cao, Yiteng Xu, Tiantian Wei, Haiteng Han, Sheng Chen, Haixiang Zang

“…The results show that the economic and low‐carbon performance of multi‐VPPs can be improved by applying the cooperative game, which can also enhance the power system ability of resisting line faults.…”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…It indicated its ability to accurately distinguish between high-vigor and low-vigor hemp seeds. …”
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Enhancing Indoor Localization Accuracy in Dense IoT-Integrated 5GNR Networks: Introducing SGNCL for Sensor-Guided NLoS Correction Localization by Afsaneh Saeidanezhad, Wasim Ahmad, Muhammad A. Imran, Olaoluwa R. Popoola

“…The results also highlight the algorithm's ability to handle varying delay spreads and sensor densities, ensuring robust localization performance across different scenarios. …”
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A Lightweight Direction-Aware Network for Vehicle Detection by Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang

“…The mechanism can fully perceive the details and salient information of input features in multiple directions, thus improving the ability of the model to capture critical features. …”
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High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint by Jaewoo An, Jun Young Kim, Myo-Taeg Lim, Yonghwan Oh

“…This framework demonstrates the potential of wheeled-legged humanoid robots to achieve dynamic, stable, and efficient locomotion in a variety of scenarios.…”
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Statistical analysis of technical specifications of self-propelled reversible plate compactors with different types of engines by M. A. Afanasev, I. S. Tyuremnov

“…Reversible plate compactors are soil compaction machines with a flat operating device, having two or more unbalanced shafts and ability to reverse the direction and movement speed. …”
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Analytic Study of a Novel Color Image Encryption Method Based on the Chaos System and Color Codes by Shamsa Kanwal, Saba Inam, Omar Cheikhrouhou, Kinza Mahnoor, Atef Zaguia, Habib Hamam

“…For protecting the images from attacks, encryption techniques are required. Recently, new and efficient chaos-based techniques have been suggested to develop secure image encryption. …”
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